Pancreatic ductal adenocarcinoma (PDA) is an aggressive malignancy characterized by a paucity of tumor-proximal CD8+ T cells and resistance to immunotherapeutic interventions. Cancer-associated mechanisms that elicit CD8+ T-cell exclusion and resistance to immunotherapy are not well-known. Here, using a Kras- and p53-driven model of PDA, we describe a mechanism of action for the protumorigenic cytokine IL35 through STAT3 activation in CD8+ T cells. Distinct from its action on CD4+ T cells, IL35 signaling in gp130+CD8+ T cells activated the transcription factor STAT3, which antagonized intratumoral infiltration and effector function of CD8+ T cells via suppression of CXCR3, CCR5, and IFNγ expression. Inhibition of STAT3 signaling in tumor-educated CD8+ T cells improved PDA growth control upon adoptive transfer to tumor-bearing mice. We showed that activation of STAT3 in CD8+ T cells was driven by B cell– but not regulatory T cell–specific production of IL35. We also demonstrated that B cell–specific deletion of IL35 facilitated CD8+ T-cell activation independently of effector or regulatory CD4+ T cells and was sufficient to phenocopy therapeutic anti-IL35 blockade in overcoming resistance to anti–PD-1 immunotherapy. Finally, we identified a circulating IL35+ B-cell subset in patients with PDA and demonstrated that the presence of IL35+ cells predicted increased occurrence of phosphorylated (p)Stat3+CXCR3CD8+ T cells in tumors and inversely correlated with a cytotoxic T-cell signature in patients. Together, these data identified B cell–mediated IL35/gp130/STAT3 signaling as an important direct link to CD8+ T-cell exclusion and immunotherapy resistance in PDA.

Infiltration of cytotoxic T cells into the tumor parenchyma correlates with better outcomes in a variety of tumor types, especially in the context of immunotherapy (1). Thus, better understanding of the mechanisms that modulate T-cell trafficking and function in tumors is necessary to overcome inefficient immune responses. This is particularly relevant in pancreatic ductal adenocarcinoma (PDA), an aggressive and deadly disease often characterized by lack of infiltration and/or dampened functionality of CD8+ T cells (2, 3). In the setting of PDA, immunotherapy has been unsuccessful (4, 5). The mechanisms that restrict tumor-directed CD8+ T-cell function in PDA are thought to be linked to immunosuppression (6–8). Significant research efforts have described a variety of tumor cell-intrinsic or extrinsic mechanisms that may act to restrict CD8+ T-cell activity in the PDA tumor microenvironment (TME), among which are myeloid cell recruitment and polarization, expansion of regulatory and γδ T cells, as well as modulation of T-cell infiltration by tumor cells themselves (9–17). These studies suggest that reversing immunosuppression in pancreatic cancer could improve endogenous T-cell activity. Although it is becoming clear that contribution from both tumor cell-intrinsic and extrinsic mechanisms may dictate the type of immunosuppression present in the TME, the mechanisms that these various immunosuppressive arms utilize to directly control T-cell function in PDA remain poorly defined.

We previously demonstrated that the cytokine IL35 promotes pancreatic tumorigenesis (18, 19). IL35 is a member of the IL12 family of cytokines, forms via heterodimerization of p35 and Ebi3, and is thought to signal in naïve CD4+ T cells through the IL35 receptor (IL35R, consisting of IL12Rβ2 and gp130 subunits). This activates STAT1 and STAT4 signaling pathways (20). Elevated IL35 can be detected in lymphoma cells and lung cancer, and predicts poor outcome in cases of leukemia, colorectal, and pancreatic cancer (20). Regulatory T cells (Treg), naïve CD4+ T cells (iTr35), dendritic cells (DC), and B cells are known to produce IL35 (11, 19, 21–25), whose expression has been linked to its ability to modulate immune responses via diverse mechanisms (20). IL35 expression in Tregs promotes CD8+ T-cell exhaustion in melanoma and colorectal cancer (21) and has also been shown to facilitate tumor growth via accumulation of myeloid-derived suppressor cells (MDSC) and induction of angiogenesis (26). IL35 expression in B cells also dampens T-cell activity independently of Tregs in experimental autoimmune encephalomyelitis by suppressing macrophages and inflammatory CD4+ T cells (24). Because of these effects, it seems likely IL35 may impact functionality of diverse immune cell populations (20). We previously showed that IL35 exerts immunosuppressive effects in PDA and is primarily expressed by two immune cell populations, regulatory T and B cells (19). However, the mechanisms underlying IL35 function in PDA remain unclear, and are addressed in the current study.

Mice

All mouse protocols were reviewed and approved by the Institutional Animal Care and Use Committee of the University of North Carolina at Chapel Hill (Chapel Hill, NC). Animals were maintained in a specific pathogen-free facility. Six- to 7-week-old wild-type CD45.2+ (WT) C57Bl/6J mice were purchased from The Charles River Laboratories (#027). The KrasLSL-G12D/+;Trp53LSL-R172H/+ and p48Cre/+ (KPC) mice have been described previously (27). Six- to 7-week-old B6 CD45.1+ (B6.SJLPtprca.Ptprcb/BoyJ) mice were purchased from The Jackson Laboratory (#002014). Ebi3Tom.L/L and Foxp3Cre-YFP;Ebi3Tom.L/L mice were obtained from D. Vignali (University of Pittsburgh, Pittsburgh, PA; refs. 21, 28–31). CD19CreEbi3L/L mice were generated by crossing CD19Cre mice (32) to Ebi3Tom.L/L mice in our colony for two generations to obtain homozygosity at Ebi3 locus. Resulting mice lacked expression of IL35 in either B cells (BEbi3−/−) or Tregs (TregEbi3−/−). Littermates were used as controls.

BWT and Bp35−/− mice were obtained by a mixed bone marrow chimera method using lethally irradiated (1,000 cGy radiation delivered from cesium source) C57BL/6J mice as recipients (Supplementary Table S1; ref. 24). Bp35−/− or control BWT mice were obtained by reconstituting recipient mice with a mixture of bone marrow cells from B cell–deficient μMT mice (The Jackson Laboratory, #002288) or WT C57BL/6J mice (80%), respectively, and p35−/− mice (20%; The Jackson Laboratory, #002692). A total of 10 × 106 bone marrow cells were injected intravenously into the WT recipients irradiated at 1,000 cGy. The chimeras were used after 8 weeks and specific deletion of p35 in B cells was confirmed by PCR. Reconstitution was confirmed using flow cytometry for major immune subtypes.

Validation of cell type–specific knockouts

To validate that the deletion of p35 or Ebi3 genes was specific to the B-cell lineage, splenic CD19+ B cells, CD11b+ myeloid cells, and CD4+ T cells were isolated by FACS from Bp35−/−, BWT, BEbi3+/−, and BEbi3−/− mice (please see “Lymphocyte isolation” section). To verify specific deletion of Ebi3 gene from Tregs, Foxp3+ (YFP+) Tregs, Foxp3 (YFP) conventional T cells (Tcon), and CD19+ B cells were purified from TregEbi3+/− and TregEbi3−/− mice by FACS. All sorted populations and remaining non-T, -B, or -myeloid cells were lysed and genomic DNA was extracted using the DNeasy Kit (Qiagen). PCR was used to check the presence of WT p35 or Ebi3 allele in the immune cells (primer sequences are listed in Supplementary Table S2).

Cell lines

The murine PDA cell line KPC 4662 was derived from a primary pancreatic tumor of C57Bl/6J KPC mice by Dr. Vonderheide's laboratory (33). GFP-labeled KPC cells were generated as described previously (18). Cells were maintained at 37°C and 5% CO2 in complete DMEM (#11995-065, Gibco, 10% FCS and 1× penicillin–streptomycin #15140-122, Gibco) and were confirmed to be Mycoplasma and endotoxin free. The cells were used at <16 passages. Cells were confirmed to contain Kras, Cre, and p53 mutant alleles/transgene by genotyping.

Tumor growth and antibody-blocking experiments

For intrapancreatic injection of cancer cells, mice were anesthetized using a ketamine (100 mg/kg)/xylazine (10 mg/kg; Med-Vet International) cocktail. The depth of anesthesia was confirmed by verifying an absence of response to toe pinch. An incision in the left flank was made, and 75,000 KPC cells in ice-cold PBS mixed at 1:1 dilution with Matrigel (#354234, Corning) in a volume of 50 μL were injected using a 28-gauge needle into a tail of the pancreas. The wound was closed in two layers, with running 5-0 Vicryl RAPIDE sutures (Ethicon) for the body wall, and 5-0 PROLENE sutures (Ethicon) for the skin. All animals were given the pain reliever buprenorphine (0.1 mg/kg; Med-Vet International) once subcutaneously after orthotopic surgery. For therapeutic experiments, mice received antibody treatment using anti-IL35 (V1.4C4.22) at 200 μg/week for 3 weeks, anti-IL27 (MM27-7B1) at 200 μg/week for 3 weeks, and/or anti–PD-1 (RMP1-14, Bio X Cell) at 200 μg/injection on days 7, 9, and 11, or their respective IgG isotype controls once an orthotopic tumor reached 4 to 5 mm (day 7; Supplementary Table S3). Tumor growth was monitored by ultrasound, as described below. Three doses of antibody were given in total, on days 7, 9, and 11 after injection of KPC cells.

Adoptive transfer of CD8+ T cells

Spleens were harvested from orthotopically injected CD45.2+ mice after 3 weeks after KPC 4662 cell injections. CD8+ T cells were sorted from the spleens after red blood cell lysis using a BD FACS-ARIA III sorter, and purity of CD8+ T cells was >98%. Sorted CD8+ T cells were treated with plate-bound anti-CD3 (1 μg/mL), soluble anti-CD28 (2 μg/mL) as control or plate-bound anti-CD3 (1 μg/mL), soluble anti-CD28 (2 μg/mL), and STA-21 (20 μmol/L) to inactivate pSTAT3 in CD8+ T cells for 48 hours. After 48 hours, 10 × 106 STA-21– or control-treated CD8+ T cells were adoptively transferred via tail vein injection into CD45.1+ mice. One day after adoptive transfer, 75,000 KPC 4662 cells were orthotopically transplanted into the pancreas of CD45.1+ mice. The recipient mice were sacrificed 21 days post-tumor cell injections, tumor size and weight were measured, and spleens and tumors were collected for further processing and analysis.

Depletion of CD8+ T cells, CD4+ T cells, and Tregs in vivo

For CD4+ and CD8+ T-cell depletion studies, 200 μg of anti-CD4 (Bio X Cell, BP0003-1, clone GK1.4) and 200 μg of anti-CD8 (Bio X Cell, BP0004-1, clone 53-6.7) or an IgG isotype control rat IgG2b, κ and rat IgG2a, κ (Bio X Cell), respectively, were administered intraperitoneally daily starting 3 days prior to tumor cell injection and twice a week after tumor cell injection. Tregs were depleted using 500 μg of anti-CD25 clone PC 61.5.3 (Bio X Cell, BE0012), injected intraperitoneally on day 3 and day 1 before pancreatic tumor implantation and repeated every 5 days for the duration of the experiment. Control mice received rat IgG1λ (Bio X Cell) isotype control. Mice were sacrificed 21 days after tumor implantation, tumor size, and weight were measured, and spleen and tumor samples were collected for further processing. Depletion of cells was confirmed by flow cytometry at the end of the experiment.

Ultrasound imaging

Monitoring of orthotopic pancreatic tumors was preformed weekly on the Vevo 2100 Imaging System (VisualSonics Inc.) using the MS550D transducer. Mice were anaesthetized using isoflurane (2%) throughout the procedure. Hair was removed from left flank of each mouse by electric razor and hair removal cream (Nair, Church & Dwight). Images were taken at 11 mm image depth, and measurements were calculated using the Vevo LAB software (VisualSonics Inc.).

Lymphocyte isolation

Single-cell suspensions were prepared from tumors and spleens isolated from orthotopic and/or adoptive transfer models. Spleens were mechanically disrupted using the plunger end of a 5 mL syringe and resuspended in 1% FBS/PBS. Spleen samples were processed following RBC lysis (eBioscience; 00-4333-57). For isolation of tumor-infiltrating lymphocytes, tumor tissue was minced into 1 to 2 mm pieces and digested with collagenase IV (1.25 mg/mL; #LS004188, Worthington), 0.1% soybean trypsin inhibitor (#T9128, Sigma), hyaluronidase (1 mg/mL; #LS002592, Worthington), and DNase I (100 mg/mL; #LS002007, Worthington) in complete DMEM for 30 minutes at 37°C. Cell suspensions were passed through a 70-μm cell strainer (Falcon) and resuspended in RPMI media (Gibco). Lymphocytes were isolated from processed tumor tissues by OptiPrep (Sigma) density gradient centrifugation. MACS isolation of total CD45+ leukocytes (MACS Miltenyi Biotec #130-052-301) was performed on the leukocyte-enriched fraction according to Miltenyi Biotec's protocol, and the purity was >90%. Cells were stained with fluorophore-labeled antibodies (Supplementary Table S3) for 30 minutes on ice in FACS buffer (PBS with 3% FCS and 0.05% sodium azide). After staining, cells were washed twice with FACS buffer and resuspended in sorting buffer (PBS with 1% FCS and 0.05% sodium azide). Cell sorting using a BD FACS ARIA III sorter was performed to isolate CD19+CD21hiCD5+CD1d+ regulatory B cells (Breg), CD19+CD21loCD5CD1d conventional B cells (Bcon), CD4+YFP+ Tregs, and CD8+ T cells. Cells were collected in complete RPMI media containing 10% FCS with 1× penicillin–streptomycin (#15140-122, Gibco) antibiotics. More than 97% purity was achieved.

B-cell and T-cell in vitro cultures

For in vitro CD8+ T-cell culture, splenic CD8+ T cells specific for the OVA257-264 (InvivoGen) antigen were sorted (>98% purity) from WT mice immunized with OVA257-264 for 1 week (10 μg/mouse). T cells were cultured with plate bound anti-CD3 (1 μg/mL, Bio X Cell) and soluble anti-CD28 (2 μg/mL, Bio X Cell), with the addition of recombinant IL35 (rIL35, 50 ng/mL; Chimerigen Laboratories; CHI-MF-11135) and OVA257-264 (2 μg/mL) for 48 hours. For blocking STAT3 or STAT4 activity, cells were cultured with 50 μmol/L fludarabine (Selleckchem), 20 μmol/L STA-21, or 100 μmol/L lisofylline (Santa Cruz Biotechnology) for 48 hours (see Supplementary Table S3 for a list of antibodies and reagents).

Mouse splenic Bregs (CD19+CD21hiCD5+CD1d+) were sorted by flow cytometry from spleens of tumor-bearing WT, p35−/−, and Ebi3−/− mice (>97% purity), as described above. A total of 100,000 Bregs or Bcon cells and 100,000 CD8+ T cells (1:1 ratio) were cocultured in the 96-well Transwell plates, with B cells occupying the top chamber and CD8+ T cells the bottom chamber (Corning; 3381) for 48 hours. B cells were activated by anti-CD40 (1 μg/mL, eBioscience) and LPS (2 μg/mL, Sigma) for 48 hours, and CD8+ T cells were activated by plate bound anti-CD3 (1 μg/mL) and soluble anti-CD28 (2 μg/mL) with OVA257-264 (2 μg/mL). Cytokine secretion of CD8+ T cells was evaluated by flow cytometry, as described below.

Intracellular cytokine and transcription factor staining

For ex vivo stimulation, sorted cells from tumors or spleens of orthotopic and/or adoptive transfer models (except for B cells, which were cultured in LPS and anti-CD40 prior to this step) were incubated with PMA (50 ng/mL; Sigma, #P8139) and ionomycin (200 ng/mL; Sigma, #I0634) in the presence of Golgistop Brefeldin A (1X, BioLegend) in complete RPMI medium for 5 hours at 37°C. Cells were washed and blocked with anti-CD16/CD32 (Fc Block, BD Biosciences, 0.1 mg/100,000 cells) for 5 minutes on ice. Viability was assessed using the Live/Dead 7AAD (BioLegend; 420404) stain solution or Live/Dead Aqua cell stain kit (Life Technologies). Cells were then washed and stained with labeled antibodies against surface markers on ice for 30 minutes in FACS buffer (PBS with 3% FCS and 0.05% sodium azide). After surface staining, cells were washed, fixed, and permeabilized using cytofix/cytoperm buffer (BD, 554714) for 15 minutes at 4°C in the dark. Intracellular staining was performed using fluorophore-conjugated cytokine antibodies for 1 hour at 4°C in the dark. After intracellular staining, cells were washed and resuspended in FACS buffer for acquisition by flow cytometry. Intracellular staining for Foxp3 was performed using a Foxp3 staining kit (eBioscience, catalog no. 00-5523). For staining of phosphoproteins, cells were fixed with fixation buffer (BioLegend; 420801) at room temperature for 10 minutes and permeabilized with true-phos perm buffer (BioLegend; 425401) at −20°C overnight. Cells were then washed twice and resuspended in cell staining buffer (BioLegend; 420201). Fluorophore-conjugated phosphoprotein cocktail antibodies or isotype controls were added and incubated for 60 minutes at 4°C. After incubation, cells were washed, resuspended in FACS buffer, and samples were acquired on LSR II and LSRII Fortessa (BD Biosciences) and analyzed with FlowJo version 10.2 (TreeStar, Inc.). The human peripheral blood mononuclear cell (PBMC) samples were processed as described above, but the blocking step was done with human BD Fc Block (BD Biosciences, 564219, 0.1 mg/100,000 cells) for 5 minutes on ice. All antibodies and reagents are listed in Supplementary Table S3.

ELISA

Peripheral blood samples were collected from mice using the retro-orbital method, and serum samples were prepared by centrifuging samples at 1,000 rpm for 5 minutes at 4°C. All serum samples were stored at −80°C. Fifty microliters of serum sample was used to detect circulating IL35. The concentration of serum IL35 was measured by using the Legend Max mouse IL35 heterodimer ELISA Kit (BioLegend, IL35 precoated ELISA Kit, p35, EBI-3), and IL35 concentration was determined based on the recombinant IL35 standard that came with the kit. Absorbance were read at 450 nm within 15 minutes using PerkinElmer Enspire multimode reader. All samples were assayed in triplicates.

Human samples

The study was carried out in accordance with The University of North Carolina at Chapel Hill School of Medicine and Washington University School of Medicine guidelines and was approved by institutional review board ethics committees. Informed consent was obtained from the patients and healthy donors before blood donation. The study conducted in accordance to ethical standards such as the Declaration of Helsinki.

PBMC isolation and B-cell enrichment

Blood samples were collected from 30 treatment-naïve patients with pancreatic cancer and 30 healthy controls. PBMCs were obtained by separating the whole blood samples via density gradient centrifugation (Lymphoprep, Axis-shield). Briefly, blood samples were collected in yellow top ACD tubes (BD Vacutainer, 364606; ∼20 mL each). Blood was diluted by addition of an equal volume of 0.9% NaCl. About 20 mL of diluted blood was layered on top of 10 mL Lymphoprep and centrifuged at 800 × g for 20 minutes at 18°C. The mononuclear cells were removed from the sample/medium interface using a Pasteur pipette. Cells were collected by centrifugation at 250 × g for 5 minutes and were washed three times with 1× RPMI1640. The isolated PBMCs were then stained with anti-human CD19 (HIB19; BioLegend), CD24 (ML5; BioLegend), and CD38 (HB-7; BioLegend) in FACS buffer for 20 minutes on ice. CD19+CD24hiCD38+ Bregs and CD19+CD24loCD38 Bcon cells were sorted using a BD FACS ARIAIII, and cells were collected in complete RPMI media. More than 97% cell purity was achieved.

PDA patient samples

For the purposes of analyzing CD8+ T-cell and IL35+ immune cell infiltration, we examined 11 samples containing PDA lesions. Samples consisted of 5-μm sections that were cut from formalin FFPE blocks provided by the Tissue Pathology Laboratory (TPL) of the UNC School of Medicine and were obtained after informed written consent. This study was conducted in accordance with the Declaration of Helsinki. All samples were anonymized prior to being transferred to the investigator's laboratory and therefore met exempt human subject research criteria. Samples were selected on the basis of patient diagnosis with PDA.

qPCR analysis for gene expression

RNA was prepared from sorted CD19+CD24hiCD38+ Bregs and CD19+CD24loCD38 Bcon cells from human PBMCs using the RNeasy Micro Kit (Qiagen). CDNA was generated using High-Capacity cDNA-RT Kit (Invitrogen). qPCR analysis (with 100 ng DNA template) was performed using the SSO advanced universal SYBR green super-mix reagent (Bio-Rad) and Applied Bio-System platform. Results were normalized to the expression of β-actin, and each sample was run in triplicate. Gene expression was determined by the ΔΔCt method (2–ΔΔCt). Primer sequences are listed in Supplementary Table S2.

IHC and immunofluorescence

Mouse splenic and tumor tissues for all models and treatments analyzed were fixed in 10% buffered formalin (Thermo Fisher Scientific) for 48 hours and embedded in paraffin. Six-micrometer sections were deparaffinized and rehydrated. A solution of 1% hydrogen peroxide (stock of 30% hydrogen peroxide, Sigma) in methanol at room temperature for 10 minutes was used to quench endogenous peroxidase activity. Antigen retrieval was done in a 10 mmol/L sodium citrate plus 0.05% Tween-20 solution (pH 6.1) for 15 minutes in a microwave oven. Blocking was performed for 1 hour at room temperature in a solution of 10% goat serum (Vector Laboratories), 10 mmol/L Tris–HCl, 0.1 mol/L magnesium chloride, 1% BSA, and 0.5% Tween-20. Sections were incubated with primary rat anti-CD8α (clone 53-6.7, BD Pharmingen) diluted in 2% BSA/PBS (final concentration of 2.5 mg/mL) overnight at 4°C. Secondary biotinylated goat anti-rat (Vector Laboratories) was diluted in 2% BSA/PBS (final concentration of 3.75 mg/mL) and incubated for 1 hour at room temperature. Tertiary ABC solution was prepared according to the manufacturer's instructions (Vectastain ABC Kit, Vector Laboratories) and incubated for 45 minutes at room temperature. Sections were developed using a 3,30-diaminobenzidine tetrahydrochloride kit (DAB Peroxidase Substrate Kit, Vector Laboratories). Slides were then counterstained with Harris hematoxylin (Sigma), dehydrated, and mounted with DPX mounting media (Sigma). Images were acquired using Nikon Eclipse Ni-U microscope, with NIS-Elements software (Nikon).

For immunofluorescence, mouse pancreata were fixed, rehydrated, and subjected to antigen retrieval as described above. Blocking was done for 1 hour (10 mmol/L Tris-HCL, 0.1 mol/L MgCl2, 0.5% Tween-20, 1% BSA, 10% chicken serum; Vector Laboratories), primary antibodies were applied overnight at 4°C. Anti-mouse antibodies included phospho-Histone 3 (Millipore, 06-570) and CK8 (DSHB, Troma-I). Secondary antibodies were used at 1:200 for 1 hour at room temperature followed by incubation with 1 μg/mL DAPI for 10 minutes. Slides were washed and mounted with ProLong Gold anti-fade mounting medium (Invitrogen), and images were acquired with an Olympus BX61.

For the purposes of analyzing status of pSTAT3 and CXCR3 expression on CD8+ T cells, 11 human PDA lesion samples were analyzed. Samples consisted of 5-μm sections that were cut from FFPE blocks provided by the TPL of the UNC School of Medicine. All samples were anonymized prior to being processed. Triple IF (3-plex IF) stains were carried out in the Leica Bond-Rx fully automated staining platform (Leica Biosystems Inc.). Slides were dewaxed in Bond Dewax solution (AR9222) and hydrated in Bond Wash solution (AR9590; all from Leica Biosystems). Epitope retrieval for all targets was done for 20 minutes in Bond-epitope retrieval solution 1 pH 6.0 (AR9661) or solution 2 pH9.0 (AR9640; both from Leica Biosystems). The epitope retrieval was followed with 10 minutes of endogenous peroxidase blocking using Bond peroxide blocking solution (DS9800; Leica Biosystems). Positive and negative controls (no primary antibody) and single-stain controls were done for 3-plex IF where one primary antibody was omitted to make sure that cross-reactivity between the antibodies did not occur. The following antibodies were used: CD8 (4B11, Leica). CD8+ T cells were counted per 10× field-of-view (FOV), counting 3-6 FOV per tumor sample. Stained slides were counterstained with Hoechst 33258 (# H3569) and mounted with ProLong Diamond Antifade Mountant (#P36961; Life Technologies). We previously estimated the average value of Ebi3+ cells/FOV across all tumor samples as 20 Ebi3+ cell/FOV. FOVs with number of Ebi3+ cells <20 were classified as Ebi3low and FOVs with number of Ebi3+ cells ≥20 were classified as Ebi3hi, as reported by Mirlekar and colleagues (19).

Analysis of Ebi3, p35, and cytokeratin immunofluorescence in human PDA

Slides containing fluorescently labeled tissue sections were scanned in the Aperio ScanScope FL (Leica Biosystems) using the 20× objective and images were archived in TPL's eSlide Manger database (Leica Biosystems). Images were manually annotated to demarcate tumor (all images) and lymphoid regions (present on three images) using Aperio ImageScope (v12.4.2.700). To reduce operator bias, annotations in lymphoid regions were made using the Hoechst nuclear counterstain layer (EBI3 and IL12a image layers were not visible). Annotated images were then analyzed using Tissue Studio software (Tissue Studio version 2.7 with Tissue Studio Library version 4.4.2; Definiens Inc.). For analysis of tumors, regions positive for cytokeratin were digitally separated from the surrounding stroma (Tissue Studio Composer software) followed by cellular analysis for coexpression of EBI3, IL12a, and cytokeratin. In lymphoid areas, cellular analysis for coexpression of EBI3 and IL12a was performed on all cells within the annotation regions. Analysis data included the percentage of co-expressing cells and the average cellular fluorescent intensities for each antibody marker.

Generation and analysis of RNA sequencing data from human B cells

An RNA sequencing (RNA-seq) library preparation for human PBMC B-cell populations derived from three healthy volunteers and three treatment-naïve patients with PDA was generated. PDA samples were preselected on the basis of positivity for p35 and Ebi3 expression, as assessed by qPCR.

Samples were sorted for human Bregs and Bcon markers (12 samples total), as described above, and template RNA was derived from freshly sorted single-cell suspensions using the Illumina TruSeq stranded library preparation protocol. Sequencing was done on the Illumina HiSeq4000 platform using 150 bp paired-end chemistry and targeting 9 × 107 reads per sample. TCGA expression matrices were accessed at http://firebrowse.org. FASTQ files were aligned to the human reference genome using STAR v2.4.2. The BAM output files were then quantified using Salmon v0.8.2. FastQC v0.11.7 and MultiQC v1.5 were used to generate quality assurance reports (Supplementary File S1). Statistical analyses were executed in R v3.3.3. Differential gene expression analysis was conducted on the resulting expression matrices using the DESeq2 R package. Genes that were found to be differentially upregulated in tumor-associated Breg subtypes compared with Bcon subtypes, with a Benjamin–Hochberg corrected P value of less than 0.1, were identified. A tumor-infiltrating Breg signature was calculated by taking the geometric mean of the expression values of the identified genes. The Breg signature was then calculated for TCGA pancreatic cancer tumors. Gene signatures for CD8+ T cells and cytotoxicity were calculated by taking the geometric mean of the CD8 T-cell gene signature genes (as per ref. 34) and the genes PRF1 and GZMA as per Rooney and colleagues (35), respectively. A scatterplot was generated from the tumor-infiltrating Breg signature and the ratio of the CD8+ T-cell to cytotoxicity signature using the ggplot2 R package. These gene signatures were calculated across tumor types in TCGA. Correlation coefficients were generated for each tumor type, and a volcano plot depicting the results was created using the ggplot2 R package. Gene set enrichment analysis (GSEA v3.0) was used comparing different subtypes for gene sets, C2 and C7, from the Molecular Signatures Database (MSigDB v6.2). Raw sequencing patient data can be found at NIH Gene Expression Omnibus (GEO) repository under accession #GSE144504. Raw sequencing data for healthy controls cannot be deposited due to Institutional IRB Certification guidelines. Raw data for controls are available upon request from the corresponding author.

Statistical analysis

At least 9 to 21 mice were used in each group, with a minimum of 6 mice in each group per experiment, and the experiments were repeated a minimum 3 times to validate reproducibility. Before analysis, data were examined for quality. Group means were compared with Student t tests. Significance in variations between two groups was determined by unpaired Student t test (two-tailed). Statistical analysis was performed using GraphPad Prism software. Data are presented as mean ± SEM. P < 0.05 was considered statistically significant.

IL35 suppresses chemotactic receptor expression and effector function in CD8+ T cells

IL35-mediated tumor growth is associated with changes in T-effector and Treg subsets (19). To understand the cellular basis of IL35 immunosuppression, we depleted CD4+ T cells or CD25+ Tregs in p35−/− mice orthotopically injected with primary syngeneic KrasG12D;Trp53R172H;p48Cre/+ (KPC) mouse pancreatic cancer cells (Supplementary Fig. S1A–S1D; ref. 19). Neither one of these depletion strategies rescued tumor growth, whereas, as previously shown, depletion of CD8+ T cells fully restored tumor growth, prompting us to ask whether IL35 may directly signal to CD8+ T cells (Supplementary Fig. S1A–S1D; ref. 19). IL35 has been shown to signal through the STAT1/STAT4 heterodimer in CD4+ T cells. However, the mechanism of IL35 signaling in CD8+ T cells is not known (20). We found that recombinant IL35 elicited an increase in phosphorylation of STAT1, STAT3, and STAT4 in CD8+ T cells, raising the possibility that these pathways could regulate IL35-dependent CD8+ T-cell function (Fig. 1A). Because one of the features of IL35 loss is increased infiltration and activation of CD8+ T cells in the tumor parenchyma (19), we asked whether IL35 could directly affect the expression of chemokine receptors and/or IFNγ production by cytotoxic T lymphocytes by examining the expression of CXCR3 and CCR5, which have been implicated as important facilitators of intratumoral CD8+ T-cell infiltration (17, 36). We found that incubation of activated OVA-specific CD8+ T cells with recombinant IL35 resulted in significantly attenuated expression of IFNγ and both CXCR3 and CCR5, consistent with the observation that p35 expression correlates with decreased CXCR3 in autoimmunity (Fig. 1B; ref. 37).

Figure 1.

IL35 mediates activation of STAT3, and suppression of IFNγ and chemotactic receptors CXCR3 and CCR5 in gp130+CD8+ T cells. A, Representative flow cytometry histograms (left) and quantification (right) of phospho(p)-STAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells activated with anti-CD3 (1 μg/mL) and anti-CD28 (2 μg/mL) in the presence of OVA (2 μg/mL) with and without recombinant (r)IL35 (50 ng/mL). Proportion of CD8+ T cells is indicated. B, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3 and CCR5 in CD3+CD8+ T cells activated as in A. C, Representative flow cytometry histograms (left) and quantification (right) of pSTAT1, pSTAT3, and pSTAT in CD3+CD8+ T cells sorted for IL12Rβ2+ or gp130+ subsets (single positive) activated as indicated in A. Proportion of CD8+ T cells is shown. D, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3 and CCR5 in CD3+CD8+ T cells sorted for IL12Rβ2+ or gp130+ subsets (single positive) activated as indicated in A. Proportion of CD8+ T cells is shown. Error bars indicate SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Experiments were conducted using 6- to 8-week-old C57B6 mice with 6 mice per group in triplicate. Data represent three independent experiments.

Figure 1.

IL35 mediates activation of STAT3, and suppression of IFNγ and chemotactic receptors CXCR3 and CCR5 in gp130+CD8+ T cells. A, Representative flow cytometry histograms (left) and quantification (right) of phospho(p)-STAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells activated with anti-CD3 (1 μg/mL) and anti-CD28 (2 μg/mL) in the presence of OVA (2 μg/mL) with and without recombinant (r)IL35 (50 ng/mL). Proportion of CD8+ T cells is indicated. B, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3 and CCR5 in CD3+CD8+ T cells activated as in A. C, Representative flow cytometry histograms (left) and quantification (right) of pSTAT1, pSTAT3, and pSTAT in CD3+CD8+ T cells sorted for IL12Rβ2+ or gp130+ subsets (single positive) activated as indicated in A. Proportion of CD8+ T cells is shown. D, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3 and CCR5 in CD3+CD8+ T cells sorted for IL12Rβ2+ or gp130+ subsets (single positive) activated as indicated in A. Proportion of CD8+ T cells is shown. Error bars indicate SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Experiments were conducted using 6- to 8-week-old C57B6 mice with 6 mice per group in triplicate. Data represent three independent experiments.

Close modal

In CD4+ T cells, IL35 mediates function via receptor chains IL12Rβ2 and gp130, which signal to activate STAT1 and STAT4 but not STAT3 (38). To understand how IL35R contributes to STAT3 activation in CD8+ T cells, we sorted T cells based on singular expression of either IL12Rβ2 or gp130 (Supplementary Fig. S2A). We found that when treated with IL35, IL12Rβ2+CD8+ T (subset-1) cells activated STAT4, and the gp130+ subset (subset-2) activated both STAT1 and STAT3 (Fig. 1C; Supplementary Fig. S2A). Consistent with this observation, treatment with rIL35 activated all three STATs in IL12Rβ2+gp130+CD8+ T cells (Supplementary Fig. S2B and S2C). Modulation in IFNγ, CXCR3, and CCR5 correlated with expression of the gp130+ subunit, although IL12Rβ2+CD8+ T cells somewhat downregulated IFNγ and CXCR3 but not CCR5 (Fig. 1D). Thus, IL35 signaling in gp130+CD8+ T cells impeded expression of CXCR3, CCR5, and IFNγ.

STAT3 inhibition in tumor-educated CD8+ T cells reduces pancreatic tumor growth

To understand which STAT signaling pathway was responsible for regulating IFNγ and/or chemokine receptors on CD8+ T cells, we used inhibitors of pSTAT1, pSTAT3, and pSTAT4 (fludarabine, STA-21, or lisofylline, respectively; refs. 39–41) in vitro on antigen-directed CD8+ T cells in the presence or absence of rIL35 (Fig. 2A; Supplementary Fig. S3A–S3D). Phospho-STAT3 was not affected in antigen-stimulated CD8+ T cells, and treatment with STA-21 did not affect IFNγ production or CXCR3/CCR5 expression (Fig. 2A). However, reduction of IFNγ, as well as CXCR3 and CCR5 caused by treatment with OVA + rIL35 was rescued by addition of STA-21 (Fig. 2A and B). STAT1 and STAT4 activation was needed for sustaining IFNγ expression following antigenic stimulation of CD8+ T cells, likely reflecting signaling by antigen-presenting cells via IL12 (Supplementary Fig. S3A–S3D; ref. 41). However, neither STAT1 nor STAT4 inhibition in activated CD8+ T cells treated with recombinant IL35 was sufficient to rescue IFNγ production and chemokine receptor expression (Supplementary Fig. S3A–S3D). Overall, these data suggest that IL35-mediated activation of STAT3 in CD8+ T cells impeded multiple axes required for their functionality.

Figure 2.

STAT3 activation in CD8+ T cells is suppressive in vitro and in vivo. A, Representative flow cytometry plots and histograms of IFNγ production and expression of CXCR3, CCR5, phospho(p)-STAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells stimulated with anti-CD3 (1 μg/mL) and anti-CD28 (2 μg/mL) in the presence of OVA (2 μg/mL), rIL35 (50 ng/mL), and/or STA-21 (20 μmol/L) inhibitor. Proportion of CD8+ T cells is indicated. B, Quantification of IFNγ production and expression of CXCR3, CCR5, pSTAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells from A. C, Experimental schema used to test the role of Stat3 activation in CD8+ T cells. D, Quantification of tumor weight from CD45.1+ mice 3 weeks after orthotopic adoptive transfer of tumor-educated CD45.2+CD8+ T cells pretreated with anti-CD3/CD28 with and without STA-21 CD45.2+CD8+ T cells and injection with KPC cells (n = 6 mice/group). E, Numbers (no.) of adoptively transferred CD45.2+ (left) and endogenous CD45.1+ (right) tumor-infiltrating CD3+CD8+ T cells 3 weeks after orthotopic adoptive transfer to the CD45.1+ recipients indicated in D. F, Representative flow cytometry histograms (left) and quantification (right) of pSTAT1, pSTAT3, and pSTAT4 in intratumoral CD45.2+CD8+ T cells 3 weeks after orthotopic adoptive transfer to CD45.1+ recipients indicated in D. G, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3 and CCR5 in intratumoral CD45.2+CD8+ T cells 3 weeks after orthotopic adoptive transfer to CD45.1+ recipients indicated in D. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Figure 2.

STAT3 activation in CD8+ T cells is suppressive in vitro and in vivo. A, Representative flow cytometry plots and histograms of IFNγ production and expression of CXCR3, CCR5, phospho(p)-STAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells stimulated with anti-CD3 (1 μg/mL) and anti-CD28 (2 μg/mL) in the presence of OVA (2 μg/mL), rIL35 (50 ng/mL), and/or STA-21 (20 μmol/L) inhibitor. Proportion of CD8+ T cells is indicated. B, Quantification of IFNγ production and expression of CXCR3, CCR5, pSTAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells from A. C, Experimental schema used to test the role of Stat3 activation in CD8+ T cells. D, Quantification of tumor weight from CD45.1+ mice 3 weeks after orthotopic adoptive transfer of tumor-educated CD45.2+CD8+ T cells pretreated with anti-CD3/CD28 with and without STA-21 CD45.2+CD8+ T cells and injection with KPC cells (n = 6 mice/group). E, Numbers (no.) of adoptively transferred CD45.2+ (left) and endogenous CD45.1+ (right) tumor-infiltrating CD3+CD8+ T cells 3 weeks after orthotopic adoptive transfer to the CD45.1+ recipients indicated in D. F, Representative flow cytometry histograms (left) and quantification (right) of pSTAT1, pSTAT3, and pSTAT4 in intratumoral CD45.2+CD8+ T cells 3 weeks after orthotopic adoptive transfer to CD45.1+ recipients indicated in D. G, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3 and CCR5 in intratumoral CD45.2+CD8+ T cells 3 weeks after orthotopic adoptive transfer to CD45.1+ recipients indicated in D. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Close modal

We reasoned that if IL35-driven activation of STAT3 in CD8+ T cells was an important factor driving CD8+ T cell exclusion and inactivity in PDA, then inhibition of STAT3 activation in tumor-educated immunosuppressed CD8+ T cells could confer antitumor responses. To test this, we isolated splenic CD8+ T cells from WT CD45.2+ mice harboring KrasG12D;Trp53R172H;p48Cre/+ (KPC) orthotopic tumors, and treated T cells with either control or STA-21 ex vivo (Fig. 2C). Control or inhibitor-treated T cells were then adoptively transferred to WT CD45.1+ mice, followed by orthotopic injection of KPC tumor cells. We observed significantly reduced tumor growth in mice that received STA-21–pretreated CD8+ T cells (Fig. 2D). This was accompanied by increased infiltration of CD45.2+CXCR3+CCR5+CD8+ T cells and significant increases in IFNγ production but no differences in infiltration by endogenous CD45.1+CD8+ T cells (Fig. 2EG). Lethally irradiated mice adoptively infused with STA-21–treated CD8+ T cells were also able to better control tumor growth (Supplementary Fig. S4). These experiments suggested that activation of STAT3 in CD8+ T cells may regulate their infiltration and antitumor activity in vivo.

IL35 production by Tregs is dispensable for pancreatic tumor growth

Both Bregs and Tregs can produce IL35 in a variety of disease settings, including PDA (19, 20). IL35 production by Foxp3+ Tregs is important for tumor growth in models of melanoma and colorectal cancer (21). To determine whether Treg-derived IL35 confers immunosuppression in PDA, we used mice with Treg-specific Foxp3Cre-YFP-driven deficiency in Ebi3 (TregEbi3-/−; Supplementary Fig. S5A and S5B; refs. 21, 28–31). We found that Treg-specific deficiency in IL35 did not alter orthotropic tumor growth, as KPC cells injected into either TregEbi3+/− or TregEbi3−/− littermates grew to a comparable tumor size, even though Ebi3 expression in CD4+ T cells was reduced to background levels (Supplementary Fig. S5C and S5D). Intratumoral and splenic frequency of total Foxp3+ Tregs, as well as cytokine production by B cells, was not altered in mice with Treg-specific deletion of Ebi3, suggesting that endogenous production of IL35 by Tregs in PDA does not control Treg or IL35+ B-cell expansion at the tumor site (Supplementary Fig. S5E–S5H). The frequency and activity of CD4+ and CD8+ T effector cells and frequencies of myeloid subsets were similar between TregEbi3+/− or TregEbi3−/− animals (Supplementary Fig. S5I–S5R). These observations highlight intrinsic differences in how different tumors types co-op IL35 and suggest that in the presence of IL35+ B cells, reduction of IL35 expression by Treg cells is not sufficient to alter PDA growth.

IL35+ B cells establish immunosuppression in PDA

To determine whether B cell–derived IL35 confers immunosuppression in PDA, we first generated mice with B-cell specific deficiency in the p35 (Bp35−/−) subunit of IL35 using a mixed bone marrow chimera approach (Fig. 3A; Supplementary Fig. S6A). Orthotopic injections of KPC cells resulted in attenuated PDA growth compared with controls (Fig. 3B). Analysis of IL35 expression in B cells confirmed near complete reduction in p35 protein in both splenic and intratumoral Bregs (Fig. 3C; Supplementary Fig. S6B and S6C). Previously, we observed that B cell–specific loss of IL35 resulted in decreased proliferation of cells transformed by KrasG12D alone (18). In contrast, KPC cells did not require B cell–derived IL35 for proliferation in vivo (Supplementary Fig. S6D). These findings, together with our observations suggesting that IL35 affected antitumor immune responses, prompted investigation into the immune functionality following B cell–specific deletion of IL35 (19).

Figure 3.

B cell–derived IL35 promotes tumor growth and mediates suppression of IFNγ and chemotactic receptors CXCR3 and CCR5 in CD8+ T cells. A, Experimental schema used to generate tumor-bearing mixed bone marrow chimeras containing B cell–specific deletion of p35 (Bp35−/−) and corresponding control BWT mice. B, Quantification of tumor weight from BWT and Bp35−/− mice 3 weeks post-orthotopic injection with KPC4662 cells (n = 6 mice/group). C, Representative flow cytometry histograms (left) and quantification (right) of intracellular p35 expression in intratumoral and intrasplenic CD19+CD21hiCD5+CD1dhi Bregs from mice in B. Proportion of p35+ Bregs is indicated. D, Representative flow cytometry histograms (left) and quantification (right) of intratumoral CD45+CD3+CD4+CD25 effector T cells in BWT and Bp35−/− mice from B. E, Representative flow cytometry plots (left) and quantification (right) of intracellular IFNγ (isotype; rat IgG1, κ) and TNFα (isotype; rat IgG1, κ) expression by CD3+CD4+ intratumoral T cells from mice in B. Proportion of CD4+ T cells is indicated. F, Representative flow cytometry histograms (left) and quantification (right) of intratumoral CD3+CD4+Foxp3+ Tregs from mice in B. Proportion of CD4+ T cells is indicated. G, Representative flow cytometry histograms (left) and quantification (right) of intracellular p35 (isotype; rat IgG2a, ĸ) and IL10 (isotype; rat IgG2b, κ) expression by intratumoral CD3+CD4+ T cells from mice in B. H, Quantification of frequency of tumor-infiltrating CD45+CD3+CD8+ T cells from BWT and Bp35−/− mice from B determined by flow cytometry. I, Representative flow cytometry plots (left) and quantification (right) of IFNγ (isotype; rat IgG1, κ) in intratumoral CD45+CD3+CD8+ T cells from mice in B. J, Ratio of mean CD3+CD4+CD25 effector T cells (Teff) to Tregs (left) and ratio of mean CD3+CD8+ cytotoxic T cells to Tregs (right) were calculated on the basis of the percent-positive lymphocyte population determined by flow cytometry. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Figure 3.

B cell–derived IL35 promotes tumor growth and mediates suppression of IFNγ and chemotactic receptors CXCR3 and CCR5 in CD8+ T cells. A, Experimental schema used to generate tumor-bearing mixed bone marrow chimeras containing B cell–specific deletion of p35 (Bp35−/−) and corresponding control BWT mice. B, Quantification of tumor weight from BWT and Bp35−/− mice 3 weeks post-orthotopic injection with KPC4662 cells (n = 6 mice/group). C, Representative flow cytometry histograms (left) and quantification (right) of intracellular p35 expression in intratumoral and intrasplenic CD19+CD21hiCD5+CD1dhi Bregs from mice in B. Proportion of p35+ Bregs is indicated. D, Representative flow cytometry histograms (left) and quantification (right) of intratumoral CD45+CD3+CD4+CD25 effector T cells in BWT and Bp35−/− mice from B. E, Representative flow cytometry plots (left) and quantification (right) of intracellular IFNγ (isotype; rat IgG1, κ) and TNFα (isotype; rat IgG1, κ) expression by CD3+CD4+ intratumoral T cells from mice in B. Proportion of CD4+ T cells is indicated. F, Representative flow cytometry histograms (left) and quantification (right) of intratumoral CD3+CD4+Foxp3+ Tregs from mice in B. Proportion of CD4+ T cells is indicated. G, Representative flow cytometry histograms (left) and quantification (right) of intracellular p35 (isotype; rat IgG2a, ĸ) and IL10 (isotype; rat IgG2b, κ) expression by intratumoral CD3+CD4+ T cells from mice in B. H, Quantification of frequency of tumor-infiltrating CD45+CD3+CD8+ T cells from BWT and Bp35−/− mice from B determined by flow cytometry. I, Representative flow cytometry plots (left) and quantification (right) of IFNγ (isotype; rat IgG1, κ) in intratumoral CD45+CD3+CD8+ T cells from mice in B. J, Ratio of mean CD3+CD4+CD25 effector T cells (Teff) to Tregs (left) and ratio of mean CD3+CD8+ cytotoxic T cells to Tregs (right) were calculated on the basis of the percent-positive lymphocyte population determined by flow cytometry. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Close modal

Intratumoral immune profiling revealed elevated frequency of IFNγ+ and TNFα+CD4+ effector T cells, as well as decreased in intratumoral but not splenic FoxP3+ Tregs, in Bp35−/− and BEbi3−/− mice compared with BWT mice, suggesting that B cell–derived IL35 may directly or indirectly regulate Treg frequency locally but not systemically (Fig. 3DF; Supplementary Fig. S6E). Because it has been proposed that exogenous IL35 may promote expansion of suppressive Tregs by inducing its own expression in CD4+ T cells (20), we examined the ability of Tregs to produce IL35 in the context of B cell–specific deletion of this cytokine. Although the overall frequency of intratumoral Tregs was reduced, the ability of Tregs to produce IL35 remained intact (Fig. 3G; Supplementary Fig. S6E). Overall, this suggested that although B cell–directed IL35 signaling may regulate numbers of CD4+ T-cell subsets in PDA, IL35 expression by Tregs could be maintained in a cell autonomous fashion. The changes in the T-cell landscape were accompanied by increased infiltration and IFNγ expression by effector CD8+ T cells, and overall, there was a significant increase in the ratio of CD4+ and CD8+ effector T cells to Tregs (Fig. 3HJ; Supplementary Fig. S6F and S6H). Concordant with our findings using global genetic loss of IL35, the frequency of myeloid cell subsets was not affected by B-cell loss of IL35 (Supplementary Fig. S6I–S6L). These results suggested that cancer-associated IL35 expression in B cells was sufficient to dampen productive T cell–mediated immune responses in PDA.

Depletion of IL35 from B cells sensitizes PDA to immunotherapy

Anti–PD-1 checkpoint blockade does not impede murine PDA growth, and the response rate in human PDA has been poor (42). We have reported that complete genetic deficiency in IL35 confers increased PDA sensitivity to anti–PD-1 treatment, presumably through increased numbers of infiltrating CD8+ T cells. However, the cell type–specific contribution to the establishment of IL-35–driven immunosuppression and resistance to anti–PD-1 remains unclear (19). To develop a tractable model of B cell–specific loss of IL35, we generated a model where B cells lacked expression of Ebi3 (BEbi3−/−) subunit (Fig. 4A; Supplementary Fig. S7A) by crossing a mouse with a conditional deletion of floxed Ebi3 allele with a mouse coding for B cell–specific Cre recombinase (CD19Cre; refs. 21, 32). To understand whether B cell–specific deficiency in IL35 was sufficient to confer sensitivity to anti–PD-1, we treated BEbi3+/− and BEbi3−/− mice with anti–PD-1 or isotype control (Fig. 4A). Orthotopic injections of KPC cells phenocopied our results with Bp35−/− mice and resulted in decreased PDA growth (Fig. 4B). Combination of anti–PD-1 with B cell–specific loss of IL35 conferred additional significant reduction in tumor growth compared with BEbi3+/− mice treated with either isotype or anti–PD-1 or BEbi3−/− mice treated with isotype control (Fig. 4B and C). Reduced Ebi3 protein was seen in splenic and intratumoral Bregs (Supplementary Fig. S7B and S7C). We also found that KPC cells were not dependent on B cell–derived Ebi3 for proliferation in vivo (Supplementary Fig. S7D). Loss of B cell–derived Ebi3 increased CD4+ effector T cells and decreased intratumoral Treg frequency (Supplementary Fig. S7E–S7G) and increased infiltration and IFNγ expression by effector CD8+ T cells (Fig. 4DF). Anti–PD-1–treated BEbi3−/− mice exhibited slightly upward trending changes in effector CD4+ T cells, comparable with those in IgG-treated BEbi3−/− mice. The ratio of CD4+ and CD8+ effector T cells to Tregs was significantly higher in BEbi3−/− mice treated with anti–PD-1 compared with the BEbi3−/− IgG cohort, and may contribute to better tumor control, but the frequency of myeloid cell subsets was not affected by B-cell loss of Ebi3 (Supplementary Figs. S7I and S7J and S8A–S8E). Overall, these data suggested that elimination of IL35 expression from B cells alone may benefit anti–PD-1 efficacy by potentiating effector T-cell responses.

Figure 4.

Production of IL35 by B cells impedes anti–PD-1 therapy. A, Experimental schema used to generate tumor-bearing mice that contain B cell–specific deletion of Ebi3 (BEbi3−/−) and corresponding control BEbi3+/− mice. B, Quantification of tumor weight from anti–PD-1–treated (200 μg) and IgG-treated (200 μg) BEbi3+/− and BEbi3−/− mice 3 weeks after orthotopic injection with KPC cells (n = 6 mice/group). C, Quantification of tumor growth by ultrasound from BEbi3+/− and BEbi3−/− mice from B. D, Quantification of frequency of tumor-infiltrating CD45+CD3+CD8+ T cells from BEbi3+/− and BEbi3−/− mice from B determined by flow cytometry. E, Representative flow cytometry plots of intratumoral CD45+CD3+CD8+ T cells stained for IFNγ (isotype; rat IgG1, κ) from mice in B. F, Quantification of intratumoral CD8+IFNγ+ T cells from all mice in B. G, Representative flow cytometry histograms (left) and quantification (right) of expression of CXCR3, CCR5, phospho(p)-STAT1, pSTAT3, and pSTAT4 in intratumoral CD3+CD8+ T cells isolated from BEbi3+/− and BEbi3−/− mice from B. H, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3, CCR5, pSTAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells 48 hours after coculture with Bregs in 1:1 ratio derived from the indicated mice. Experiment were done in triplicate with 6 mice per group. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Figure 4.

Production of IL35 by B cells impedes anti–PD-1 therapy. A, Experimental schema used to generate tumor-bearing mice that contain B cell–specific deletion of Ebi3 (BEbi3−/−) and corresponding control BEbi3+/− mice. B, Quantification of tumor weight from anti–PD-1–treated (200 μg) and IgG-treated (200 μg) BEbi3+/− and BEbi3−/− mice 3 weeks after orthotopic injection with KPC cells (n = 6 mice/group). C, Quantification of tumor growth by ultrasound from BEbi3+/− and BEbi3−/− mice from B. D, Quantification of frequency of tumor-infiltrating CD45+CD3+CD8+ T cells from BEbi3+/− and BEbi3−/− mice from B determined by flow cytometry. E, Representative flow cytometry plots of intratumoral CD45+CD3+CD8+ T cells stained for IFNγ (isotype; rat IgG1, κ) from mice in B. F, Quantification of intratumoral CD8+IFNγ+ T cells from all mice in B. G, Representative flow cytometry histograms (left) and quantification (right) of expression of CXCR3, CCR5, phospho(p)-STAT1, pSTAT3, and pSTAT4 in intratumoral CD3+CD8+ T cells isolated from BEbi3+/− and BEbi3−/− mice from B. H, Representative flow cytometry plots and histograms (left) and quantification (right) of IFNγ production and expression of CXCR3, CCR5, pSTAT1, pSTAT3, and pSTAT4 in CD3+CD8+ T cells 48 hours after coculture with Bregs in 1:1 ratio derived from the indicated mice. Experiment were done in triplicate with 6 mice per group. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Close modal

To determine which T-cell subset was responsible for reduced tumor growth when IL35 was deleted from B cells, we depleted either CD4+ T cells, CD25+ Treg, or CD8+ T cells (Supplementary Fig. S9A-I). Tumor growth was rescued only under conditions of CD8+ T-cell depletion, suggesting that B cells may utilize IL35 to directly control CD8+ T-cell functionality (Supplementary Fig. S9A–S9I). We then analyzed the role of B cell–derived IL35 in suppression of CD8+ T-cell function in vivo. In addition to altered expression of IFNγ (Fig. 3I, Fig. 4E and F), B cell–specific deletion of IL35 correlated with increased expression of both CXCR3 and CCR5 and a concordant decrease of pSTAT1, pSTAT3, and pSTAT4 in CD8+ T cells (Fig. 4G; Supplementary Fig. S10A and S10B). These results suggested that B cell–derived IL35 in PDA acted to restrain infiltration and effector function of cytotoxic CD8+ T cells.

To understand whether IL35 production by B cells was sufficient to suppress CD8+ T-cell function, we established coculture assays where cytokine production in splenic B cells derived from tumor-bearing animals was stimulated by addition of LPS and anti-CD40. Activated B cells were seeded in Transwells and cocultured with activated OVA-directed CD8+ T cells. Activated B cells inhibited IFNγ production and chemokine receptor expression by CD8+ T cells in an IL35-dependent manner (Fig. 4H). This functional suppression correlated with increased phosphorylation of STAT1, STAT3, and STAT4 in CD8+ T cells (Fig. 4H).

Pharmacologic blockade of IL35 reduces pancreatic tumor growth

Our published data indicate that global genetic deficiency in IL35 increases intratumoral cytotoxic CD8+ T cells and suggests that targeting IL35 genetically may be an effective strategy to convert PDA from an immunologically “cold” to a “hot” tumor (19). Treatments that increase tumor infiltration by CD8+ T cells represent a promising strategy for use in combination with checkpoint blockade. To determine how pharmacologic blockade of IL35 affected PDA tumor growth and responsiveness to anti–PD-1, WT mice were orthotopically injected with KPC cells and treated with monotherapies or combination therapy (Fig. 5A). Blockade of IL35 resulted in significant reduction of serum IL35 and a concordant reduction of tumor growth (Fig. 5B; Supplementary Fig. S11A). Treatment with combination anti–PD-1 and IL35 blockade further improved tumor growth control (Fig. 5B). Because anti-IL35 targets the Ebi3 subunit, which is also a subunit of IL27, we tested whether depletion of IL27 affected PDA growth. Anti-IL27 (against the p28 subunit) did not elicit reduced tumor growth, suggesting that the action of anti-IL35 was on target (Supplementary Fig. S11B). Measurements of tumor growth during treatment with anti-IL35 revealed that both single-agent and combination with anti–PD-1 had an effect on tumor growth approximately 14 days post-treatment initiation (Fig. 5C). Survival of orthotopically injected mice treated with combination anti-IL35 and anti–PD-1 was also significantly improved (Fig. 5D). Treatment of animals bearing spontaneous KrasG12D;Trp53R172H;p48Cre/+ (KPC)-driven pancreatic cancer with either anti-IL35 alone or combination with anti–PD-1 also significantly reduced tumor growth (Fig. 5E). Reduced tumor growth in the orthotopic setting was accompanied by increased infiltration and activation of effector T cells, as well as a reduction in Treg frequency, corroborating our observations in models of complete or B cell–specific IL35 deficiency (Fig. 5FH; Supplementary Fig. S11C–S11E). Mechanistically, administration of anti-IL35 significantly reduced the frequency of IL35-producing CD4+ T cells and Bregs, suggesting that IL35 may regulate its own expression in suppressive cell types (Supplementary Fig. S11F and S11G). We also found that the frequency of PD-1+CD8+ T cells increased in treated animals, suggesting that anti-IL35 blockade in PDA resulted in increased effector function of CD8+ T cells (Supplementary Fig. S11H). We confirmed that expression of CXCR3 and CCR5 was increased on CD8+ T cells derived from anti-IL35–treated animals, concordant with decreases in pSTAT3 and pSTAT4 activation, although no additional changes were observed upon addition of anti–PD-1 (Fig. 5I; Supplementary Fig. S11I).

Figure 5.

IL35 blockade relieves immunosuppression of CD8+ T cells and synergizes with anti–PD-1. A, Schematic of the antibody treatment regimen. Anti-IL35 (200 μg first dose, followed by 100 μg/week) or control IgG antibody was administered in therapeutic schedule (1 week after tumor cell injection on days 7, 11, and 15). Administration of anti–PD-1 (200 μg) was initiated on day 7 after tumors reached approximately 4 to 5 mm in diameter. Two more doses of anti–PD-1 were administered on days 9 and 11. Mice were sacrificed 3 weeks after tumor cell injection or assessed for survival. B, Quantification of tumor weight from WT mice treated with therapeutic anti-IL35, anti–PD-1, or combination (as in A) 3 weeks after orthotopic injection with KPC cells (n = 6 mice/group). C, Quantification of tumor growth by ultrasound from WT mice in B. D, Survival plot of orthotopically injected WT mice from B treated with the indicated therapeutic antibodies. E, Quantification of tumor growth by ultrasound from spontaneous KPC mice treated with therapeutic anti-IL35, anti–PD-1, or combination as in A. Treatment was initiated when tumor measuring approximately 5 mm was visualized by ultrasound (n = 6 mice/group). Data represent three independent experiments. F, Quantification of frequency of orthotopic tumor-infiltrating CD45+CD3+CD8+ T cells from mice in B. G, Representative flow cytometry plots of intracellular IFNγ in intratumoral CD45+CD3+CD8+ T cells from the mice in B. Proportion of CD8+ T cells is indicated. H, Quantification of intratumoral CD8+IFNγ+ T cells from the mice in B. I, Quantification of CXCR3, CCR5, pSTAT3, and pSTAT4 expression in intratumoral CD3+CD8+ T cells from mice in B. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Figure 5.

IL35 blockade relieves immunosuppression of CD8+ T cells and synergizes with anti–PD-1. A, Schematic of the antibody treatment regimen. Anti-IL35 (200 μg first dose, followed by 100 μg/week) or control IgG antibody was administered in therapeutic schedule (1 week after tumor cell injection on days 7, 11, and 15). Administration of anti–PD-1 (200 μg) was initiated on day 7 after tumors reached approximately 4 to 5 mm in diameter. Two more doses of anti–PD-1 were administered on days 9 and 11. Mice were sacrificed 3 weeks after tumor cell injection or assessed for survival. B, Quantification of tumor weight from WT mice treated with therapeutic anti-IL35, anti–PD-1, or combination (as in A) 3 weeks after orthotopic injection with KPC cells (n = 6 mice/group). C, Quantification of tumor growth by ultrasound from WT mice in B. D, Survival plot of orthotopically injected WT mice from B treated with the indicated therapeutic antibodies. E, Quantification of tumor growth by ultrasound from spontaneous KPC mice treated with therapeutic anti-IL35, anti–PD-1, or combination as in A. Treatment was initiated when tumor measuring approximately 5 mm was visualized by ultrasound (n = 6 mice/group). Data represent three independent experiments. F, Quantification of frequency of orthotopic tumor-infiltrating CD45+CD3+CD8+ T cells from mice in B. G, Representative flow cytometry plots of intracellular IFNγ in intratumoral CD45+CD3+CD8+ T cells from the mice in B. Proportion of CD8+ T cells is indicated. H, Quantification of intratumoral CD8+IFNγ+ T cells from the mice in B. I, Quantification of CXCR3, CCR5, pSTAT3, and pSTAT4 expression in intratumoral CD3+CD8+ T cells from mice in B. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed); NS, not significant. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Close modal

Immature B cells produce IL35 and IL10 in human PDA

To understand which human B-cell subset may correspond to murine IL35+IL10+ B cells, we analyzed peripheral blood of healthy donors and treatment-naïve patients with PDA for presence of previously reported human Breg markers (Supplementary Fig. S12A; refs. 43–47). CD19+ B cells from peripheral blood were sorted and lysed to assess their ability to express cytokines. QPCR revealed that the CD19+CD24hiCD27+ B10 subset produced IL10, whereas the CD19+CD24hiCD38hi immature B-cell subset was most similar to the murine Bregs and produced both IL10 and IL35 (Supplementary Fig. S12B). Analysis of the major immune cell subtypes from peripheral blood of patients with PDA by flow cytometry was concordant with data from mouse models (19) and indicated that IL35 (p35+Ebi3+) was primarily expressed by B cells and CD4+ T cells, with a larger contribution from B cells (Supplementary Fig. S12C and S12D). Neither murine plasma cells nor human plasmablasts produced IL10 nor IL35, indicating that the cytokine-producing B cells in PDA did not develop from plasma cells, as has been suggested in prostate cancer (Supplementary Fig. S13A–S13D; refs. 24, 48).

Overall, the frequency of CD19+CD24hiCD38hi immature B cells in the peripheral blood of patients with PDA was significantly higher than in healthy controls (Fig. 6A). We found that CD19+CD24hiCD38hi peripheral B cells from patients with PDA expressed significantly higher IL35 and IL10 compared with healthy controls and Bcon cells (Fig. 6B). This observation is consistent with the notion that IL35 is induced in the context of inflammation (20). There was heterogeneity among patients with regards to frequency of peripheral blood immature IL35+ B cells, suggesting heterogeneity of Breg responses in PDA patient population (Fig. 6AC). Thus, at least some patients with PDA exhibit B cell–driven immunosuppressive mechanisms, as evidenced by increased Breg activity.

Figure 6.

Identification of IL35-producing B cells in patients with PDA. A, Quantification of CD19+CD24hiCD38hi B cells in peripheral blood of healthy volunteers (n = 30) and treatment-naïve PDA patients (n = 30). Proportion of CD19+ cells is indicated. B, Fold change in Il10, p35, and Ebi3 from sorted CD19+CD24hiCD38hi Bregs or CD19+CD24loCD38lo Bcon cells from healthy volunteers or patients with PDA (n = 5 samples/B-cell group) determined by qPCR. Fold change determined by comparing with healthy Bcon cells. C, Fold change in expression of Il10, p35, and Ebi3 from sorted CD19+CD24hiCD38hi Bregs in healthy donors or patients with PDA determined by qPCR. D, Representative immunofluorescence staining for CD8, CXCR3, and pSTAT3 in samples of human PDA. Arrow, pSTAT3+CD8+ T cells; arrowhead, pSTAT3CD8+ T cells; and asterisks, pSTAT3+CD8 cells. Scale bars, 25 μm. E, Proportion of Ebi3-high and -low tumor regions as a function of immune aggregates (IA). Data were derived from counting 3 to 6 field-of-view (FOV)/tumor sample (n = 11 tumor samples). F, Proportion of pSTAT3+CD8+ T cells as function of low versus high numbers of Ebi3+ immune cells. Each data point is the percentage of pSTAT3+CD8+ T cells out of all CD8+ T cells/20× FOV. Data were derived from counting 3 to 6 FOV/tumor sample (n = 11 tumor samples). G, Proportion of CXCR3+CD8+ T cells as function of low versus high numbers of Ebi3+ immune cells. Each data point is the percentage of CXCR3+CD8+ T cells out of all CD8+ T cells/20x FOV. Data were derived from counting 3 to 6 FOV/tumor sample (n = 11 tumor samples). H, Proportion of CXCR3+CD8+ T cells as function of pSTAT3+ versus pSTAT3 in tumor regions high for Ebi3+ immune cells. Each data point is the percentage of CXCR3+CD8+ T cells out of all CD8+ T cells/20× FOV. Data were derived from counting 3 to 6 FOV/tumor sample (n = 11 tumor samples). I, Correlation of the cancer Breg signature with the cytotoxic CD8+ T-cell index in PAAD from TCGA. J, Correlation of the cancer Breg signature with the cytotoxic CD8+ T-cell index across TCGA subtypes. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed). *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Figure 6.

Identification of IL35-producing B cells in patients with PDA. A, Quantification of CD19+CD24hiCD38hi B cells in peripheral blood of healthy volunteers (n = 30) and treatment-naïve PDA patients (n = 30). Proportion of CD19+ cells is indicated. B, Fold change in Il10, p35, and Ebi3 from sorted CD19+CD24hiCD38hi Bregs or CD19+CD24loCD38lo Bcon cells from healthy volunteers or patients with PDA (n = 5 samples/B-cell group) determined by qPCR. Fold change determined by comparing with healthy Bcon cells. C, Fold change in expression of Il10, p35, and Ebi3 from sorted CD19+CD24hiCD38hi Bregs in healthy donors or patients with PDA determined by qPCR. D, Representative immunofluorescence staining for CD8, CXCR3, and pSTAT3 in samples of human PDA. Arrow, pSTAT3+CD8+ T cells; arrowhead, pSTAT3CD8+ T cells; and asterisks, pSTAT3+CD8 cells. Scale bars, 25 μm. E, Proportion of Ebi3-high and -low tumor regions as a function of immune aggregates (IA). Data were derived from counting 3 to 6 field-of-view (FOV)/tumor sample (n = 11 tumor samples). F, Proportion of pSTAT3+CD8+ T cells as function of low versus high numbers of Ebi3+ immune cells. Each data point is the percentage of pSTAT3+CD8+ T cells out of all CD8+ T cells/20× FOV. Data were derived from counting 3 to 6 FOV/tumor sample (n = 11 tumor samples). G, Proportion of CXCR3+CD8+ T cells as function of low versus high numbers of Ebi3+ immune cells. Each data point is the percentage of CXCR3+CD8+ T cells out of all CD8+ T cells/20x FOV. Data were derived from counting 3 to 6 FOV/tumor sample (n = 11 tumor samples). H, Proportion of CXCR3+CD8+ T cells as function of pSTAT3+ versus pSTAT3 in tumor regions high for Ebi3+ immune cells. Each data point is the percentage of CXCR3+CD8+ T cells out of all CD8+ T cells/20× FOV. Data were derived from counting 3 to 6 FOV/tumor sample (n = 11 tumor samples). I, Correlation of the cancer Breg signature with the cytotoxic CD8+ T-cell index in PAAD from TCGA. J, Correlation of the cancer Breg signature with the cytotoxic CD8+ T-cell index across TCGA subtypes. Error bars, SEM; P values were calculated using Student t test (unpaired, two-tailed). *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data represent three independent experiments.

Close modal

IL35+ immune cells correlate with pSTAT3+CXCR3CD8+ T cells in human PDA

We previously documented the presence of intratumoral IL35+ B cells and T cells in human PDA (19). Consistent with our hypothesis that IL35 may suppress CD8+ T-cell infiltration, we reported that IL35+ immune cells negatively correlated with CD8+ T-cell infiltration into human tumor cell nests (19). To interrogate the relationship among IL35 expression, STAT3 activation, and CD8+ T-cell infiltration, we used multiplexed immunofluorescence to analyze primary human PDA tissues for CD8+ T cell–specific expression of pSTAT3 and CXCR3 in IL35 high (Ebi3hi) or IL35 low (Ebi3lo) regions (Fig. 6D; ref. 19).We found that the majority of IL35+ cells resided at the interface between immune aggregates (IA) and tumor parenchyma, suggesting that IAs might serve as sites of active immune suppression in PDA (Fig. 6E). Consistent with the idea that IL35 may induce STAT3 activation in CD8+ T cells, we found that the presence of IL35+ immune cells positively correlated with pSTAT3 activation in CD8+ T cells, and there was very little STAT3 activation in the regions that contained few or no IL35+ cells (Fig. 6F). Overall, the percentage of pSTAT3+CD8+ cells was not high, but specifically correlated with presence of IL35+ immune cells. On the contrary, the presence of CXCR3+CD8+ T cells, overall, negatively correlated with IL35 expression (Fig. 6G). Analysis of IL35+ regions revealed a significant negative association between pSTAT3 activation and CXCR3 expression in CD8+ T cells (Fig. 6H). We also examined coexpression of Ebi3 and p35 proteins on archived human PDA samples and found that, consistent with reports, Ebi3 and p35 were coexpressed in cytokeratin+ cells at frequencies ranging from 0.37% to 89.26% of all cytokeratin+ cells, with a median value of 18.27% (Supplementary Fig. S14A and S14B; ref. 49). Although the consequences of epithelial-specific IL35 expression in PDA on immune function are not yet clear, our initial analysis did not find a correlation between the frequency of IL35+ cancer cells and CD8+ T-cell infiltration into the tumor parenchyma (Supplementary Fig. S14C). These results suggested that IL35+ immune cells in the human PDA TME may restrict CD8+ T-cell infiltration into the tumor parenchyma by suppressing expression of CXCR3 via STAT3 activation.

To understand how human IL35+ B cells correlated with overall cytotoxic responses in human PDA, we performed bulk RNA-seq on sorted peripheral Bregs and Bcon cells from patients with PDA or healthy volunteers. A tumor-associated Breg signature was calculated as described in the Materials and Methods. This gene signature correlated with the ratio of a CD8 signature and a previously published cytotoxicity score (50). Specifically, the cancer-derived Breg signature inversely correlated with the ratio of the T-cell cytotoxicity score to the CD8 score in The Cancer Genome Atlas pancreatic adenocarcinoma (TCGA PAAD) pancreatic cohort (Fig. 6I). We also found that several additional cancer types in TCGA presented with an upregulated Breg signature that negatively correlated with antitumor T-cell activity, suggesting that the role of IL35+ B cells in regulating T-cell responses in cancer was broader than previously appreciated (Fig. 6J).

T cell–based immunotherapy is at the frontlines of clinical care for several types of cancer. Unfortunately, PDA thus far has failed to respond to checkpoint blockade therapy (42). Effective responses to immunotherapeutics has been shown to correlate with preexisting intratumoral effector T-cell infiltration, which is lacking in a large proportion of PDA cases (1). Establishment of diverse immunosuppressive networks and physical barriers, such as dense desmoplasia, has been implicated in restricting endogenous antitumor responses and immunotherapy efficacy in PDA (6). Considerable effort has been put into delineating the contribution of some major immune infiltrating cells, such as myeloid cells and Tregs. Recruitment and protumor polarization of macrophages and MDSCs have been shown to constrain CD8+ T-cell responses by engaging GM-CSF and CSFR1 axes (11, 51). Tolerogenic CD206+MHCIIlow tumor-associated macrophages can also promote Treg expansion (52). Tregs, which are well-known drivers of suppression of tumor-directed CD8+ T-cell responses, are shown to also act on DCs and prevent productive antigen presentation (14). Investigations into rare subsets of immune cells present in PDA TME, such as γδ T cells, have yielded important insights into contributions of these cells to biology of PDA development (16).

A number of cell types have been shown to produce immunosuppressive IL35 in cancer, including Treg and B cells, as well as DCs (20). A study has suggested that a subset of patients with PDA have upregulated IL35 in tumor cells, although it is not clear what effect this has on immune function (49). Murine KPC cells used in our study do not produce IL35 and, therefore, recapitulate tumor biology where IL35 is sourced from the stromal microenvironment. Here, we showed that B cell–specific production of IL35 suppressed endogenous T-cell responses in PDA. Genetic or pharmacologic targeting of IL35 resulted in decreased tumor growth associated with increased effector T-cell infiltration and IFNγ production. We uncovered that sensitivity to anti–PD-1 was evident in the context of targeting IL35. We found that B cell–derived IL35 directly suppressed infiltration and activation of CD8+ T cells by downregulating chemotactic receptors CXCR3 and CCR5 and effector cytokine IFNγ, and this was dependent on IL35-induced phosphorylation of STAT3 in CD8+ T cells. Ex vivo inhibition of pSTAT3 activated CD8+ T cells from mice bearing PDA tumors and conferred antitumor activity upon adoptive transfer of inhibitor-treated T cells. These data point to a previously unappreciated role of B cells in directly suppressing infiltration and activity of tumor-directed CD8+ T cells in PDA.

Although B cells can account for up to 25% of immune infiltrate in some solid tumors and up to 15% in human PDA (53, 54), the precise mechanisms of B-cell contribution to tumor growth are not well established. In concert with the idea that B lymphocytes play versatile roles in solid cancer biology, we and others have demonstrated that B cells promote PDA growth in coordination with hypoxia via immunoglobulin deposition or by production of IL35 (18, 54, 55). These findings have led to initiation of several clinical trials in patients with PDA using combination chemotherapy and ibrutinib (an inhibitor of Btk found in both activated B cells and macrophages), marking an important foray into testing the contribution of B-cell and macrophage activation in human PDA (NCT02436668). However, given the diverse repertoire of B-cell function in cancer, it is important to better understand the consequences of disrupting the functionality of individual B-cell subsets in PDA.

Our data suggested that IL35+ B cells directly regulate infiltration and function of CD8+ T cells in PDA in a STAT3-dependent manner. CXCR3 and CCR5 are chemokine receptors expressed on effector T cells, can be upregulated by ligands CXCL9, CXCL10, and CXCL11, and have been shown to be important for T-cell infiltration into the tumor bed (36). Studies in melanoma and lung cancer models have found that genetic lack of STAT3 in T cells results in increased migration and effector function (56, 57). These observations, together with our data and studies showing that STAT3 regulates proliferation, survival, cytotoxic gene expression, and memory function in CD8+ T cells that respond to viral infections, suggest that STAT3 could be a possible therapeutic target for enhancing antitumor CD8+ T cell–mediated responses (58, 59). Further work needs to be done to establish if IL35 blockade and/or inhibition of STAT3 in effector T cells generates persistent memory responses and may provide further insight into strategies for combination immunotherapy. STAT inhibitor studies performed by us at this point were done ex vivo and are limited to proof-of-concept because all three inhibitors used (fludarabine, STA-21, and lisofylline) may have off-target effects (60–62).

Concordant with previous studies suggesting that B cells may influence Treg numbers in cancer, we found that B-cell production of IL35 was important for localized expansion of Foxp3+ Tregs (63). Specific triggers for IL35 production by Tregs in cancer have not been well-defined, although prior reports suggest that recombinant IL35 can induce IL35 in Tregs and naïve CD4+CD25Foxp3 T cells (20). Our current data showed that IL35 in B cells does not affect production of IL35 by Tregs, so we can rule out B cells as being an initiating source of IL35 for T-cell lineages. It is possible that Treg-specific production of IL35 is sufficient to keep its expression going in a cell-autonomous manner. It is also currently not known which cancer-associated inflammatory mediators induce IL35 production in B cells, and additional research dissecting the mechanisms of IL35 induction in immunosuppressive cells may provide novel targets for therapy.

With regards to immune cell–specific contribution of IL35 to tumor growth, our findings contrast data in mouse models of melanoma and colon cancer, which demonstrate that Treg-specific expression of IL35 is important in tumor growth control (21). It is possible that the difference in overall levels of IL35 produced by B cells and Tregs in distinct tumor models may account for this effect. We observed that in PDA, approximately 20% of Bregs and roughly 8% of CD4+ T cells produced IL35. This is in contrast with murine melanoma, where up to 40% of tumor-infiltrating Tregs are reported to produce IL35 (21).

Our study supports the idea that B cell–derived IL35 promotes tumorigenesis via inhibition of CD8+ T-cell infiltration and effector cytokine production, and we observed an increase in CD8+ T-cell PD-1 expression following anti-IL35 treatment, in concordance with an idea that newly activated T cells upregulate PD-1 expression overtime (27). It is also possible that physical location of immunosuppressive cells, with respect to tumor-reactive CD8+ T cells, may influence the nature of immunosuppression. Although our preliminary analysis did not indicate alterations in myeloid populations in either B cell– or Treg-specific deletion of IL35, it is still possible that IL35 may act on other immune cells apart from B cells and T cells.

Validation that IL35+ B cells have a role in inducing immunosuppression in human PDA was performed. We analyzed human B cells from patients with PDA using markers CD24 and CD38, previously used to identify IL10-producing B cells in patients with autoimmunity, and established that the CD24+CD38+ subset produced IL35 and was present at higher frequencies in patients with PDA, suggesting disease-instigated expansion of this cell subtype (64). We also demonstrated that the presence of IL35+ B cells inversely correlated with antitumor cytotoxic T-cell activity and expansion of Bregs across distinct cancer types, suggesting that Bregs are major drivers of immunosuppression in a variety of cancers.

G.P. Gupta is a consultant/advisory board member for and has ownership interest (including patents) in Naveris Inc. D.A.A. Vignali is a scientific advisory board member for, reports receiving a commercial research grant from, and has ownership interest (including patents) in Tizona Therapeutics. No potential conflicts of interest were disclosed by the other authors.

Conception and design: B. Mirlekar, D.G. DeNardo, Y. Pylayeva-Gupta

Development of methodology: B. Mirlekar, D. Michaud, Y. Pylayeva-Gupta

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): B. Mirlekar, D. Michaud, E.C. Goldman, G.P. Gupta, R.C. Fields, J.J. Yeh, A.J. McRee, Y. Pylayeva-Gupta

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): B. Mirlekar, D. Michaud, S.J. Lee, N.P. Kren, N.U. Rashid, B.G. Vincent, Y. Pylayeva-Gupta

Writing, review, and/or revision of the manuscript: B. Mirlekar, S.J. Lee, K. Greene, E.C. Goldman, R.C. Fields, W.G. Hawkins, J.J. Yeh, A.J. McRee, B.G. Vincent, D.A.A. Vignali, Y. Pylayeva-Gupta

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): B. Mirlekar, N.P. Kren, C. Harris, E.C. Goldman, R.C. Fields, W.G. Hawkins, B.G. Vincent, Y. Pylayeva-Gupta

Study supervision: E.C. Goldman, Y. Pylayeva-Gupta

Other (pathology): K. Greene

Other (provision of key reagents and technical advice): D.A.A. Vignali

We thank B. Savoldo and G. Dotti for discussions and help with manuscript preparation. This work was supported in part by R37 CA230786 (Y. Pylayeva-Gupta), University Cancer Research Fund at The University of North Carolina (UNC) at Chapel Hill (Y. Pylayeva-Gupta); AACR–PanCAN Pathway to Leadership Grant 13-70-25-PYLA (Y. Pylayeva-Gupta), V Foundation for Cancer Research grant V2016-016 (Y. Pylayeva-Gupta), Concern Foundation Conquer Cancer Now Award (Y. Pylayeva-Gupta), the Washington University in St. Louis SPORE in Pancreatic Cancer (R.C. Fields and W.G. Hawkins; P50CA196510), the WUSTL SPORE Career Enhancement Award grant 1P50CA196510-01A1 from the NCI (Y. Pylayeva-Gupta), Cancer Cell Biology Training Program (CCBTP) grant 2T32CA071341-21 (D. Michaud), and R01 CA203689 (D.A.A. Vignali). The UNC Flow Cytometry Core Facility, the UNC Translational Pathology Laboratory, the Animal Histopathology and Laboratory Medicine Core, and the UNC Lineberger Animal Studies Core are supported in part by P30 CA016086 Cancer Center Core Support Grant to the UNC Lineberger Comprehensive Cancer Center.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Spranger
S
,
Koblish
HK
,
Horton
B
,
Scherle
PA
,
Newton
R
,
Gajewski
TF
. 
Mechanism of tumor rejection with doublets of CTLA-4, PD-1/PD-L1, or IDO blockade involves restored IL-2 production and proliferation of CD8(+) T cells directly within the tumor microenvironment
.
J Immunother Cancer
2014
;
2
:
3
.
2.
Clark
CE
,
Hingorani
SR
,
Mick
R
,
Combs
C
,
Tuveson
DA
,
Vonderheide
RH
. 
Dynamics of the immune reaction to pancreatic cancer from inception to invasion
.
Cancer Res
2007
;
67
:
9518
27
.
3.
Bailey
P
,
Chang
DK
,
Nones
K
,
Johns
AL
,
Patch
AM
,
Gingras
MC
, et al
Genomic analyses identify molecular subtypes of pancreatic cancer
.
Nature
2016
;
531
:
47
52
.
4.
Royal
RE
,
Levy
C
,
Turner
K
,
Mathur
A
,
Hughes
M
,
Kammula
US
, et al
Phase 2 trial of single agent ipilimumab (anti-CTLA-4) for locally advanced or metastatic pancreatic adenocarcinoma
.
J Immunother
2010
;
33
:
828
33
.
5.
Brahmer
JR
,
Tykodi
SS
,
Chow
LQ
,
Hwu
WJ
,
Topalian
SL
,
Hwu
P
, et al
Safety and activity of anti-PD-L1 antibody in patients with advanced cancer
.
N Engl J Med
2012
;
366
:
2455
65
.
6.
Vonderheide
RH
,
Bayne
LJ
. 
Inflammatory networks and immune surveillance of pancreatic carcinoma
.
Curr Opin Immunol
2013
;
25
:
200
5
.
7.
Feig
C
,
Gopinathan
A
,
Neesse
A
,
Chan
DS
,
Cook
N
,
Tuveson
DA
. 
The pancreas cancer microenvironment
.
Clin Cancer Res
2012
;
18
:
4266
76
.
8.
Pergamo
M
,
Miller
G
. 
Myeloid-derived suppressor cells and their role in pancreatic cancer
.
Cancer Gene Ther
2017
;
24
:
100
5
.
9.
Chao
T
,
Furth
EE
,
Vonderheide
RH
. 
CXCR2-dependent accumulation of tumor-associated neutrophils regulates T-cell immunity in pancreatic ductal adenocarcinoma
.
Cancer Immunol Res
2016
;
4
:
968
82
.
10.
Beatty
GL
,
Chiorean
EG
,
Fishman
MP
,
Saboury
B
,
Teitelbaum
UR
,
Sun
W
, et al
CD40 agonists alter tumor stroma and show efficacy against pancreatic carcinoma in mice and humans
.
Science
2011
;
331
:
1612
6
.
11.
Pylayeva-Gupta
Y
,
Lee
KE
,
Hajdu
CH
,
Miller
G
,
Bar-Sagi
D
. 
Oncogenic Kras-induced GM-CSF production promotes the development of pancreatic neoplasia
.
Cancer Cell
2012
;
21
:
836
47
.
12.
Winograd
R
,
Byrne
KT
,
Evans
RA
,
Odorizzi
PM
,
Meyer
AR
,
Bajor
DL
, et al
Induction of T-cell immunity overcomes complete resistance to PD-1 and CTLA-4 blockade and improves survival in pancreatic carcinoma
.
Cancer Immunol Res
2015
;
3
:
399
411
.
13.
Feig
C
,
Jones
JO
,
Kraman
M
,
Wells
RJ
,
Deonarine
A
,
Chan
DS
, et al
Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergizes with anti-PD-L1 immunotherapy in pancreatic cancer
.
Proc Natl Acad Sci U S A
2013
;
110
:
20212
7
.
14.
Jang
JE
,
Hajdu
CH
,
Liot
C
,
Miller
G
,
Dustin
ML
,
Bar-Sagi
D
. 
Crosstalk between regulatory T cells and tumor-associated dendritic cells negates anti-tumor immunity in pancreatic cancer
.
Cell Rep
2017
;
20
:
558
71
.
15.
Wang
W
,
Marinis
JM
,
Beal
AM
,
Savadkar
S
,
Wu
Y
,
Khan
M
, et al
RIP1 kinase drives macrophage-mediated adaptive immune tolerance in pancreatic cancer
.
Cancer Cell
2018
;
34
:
757
74
.
16.
Daley
D
,
Zambirinis
CP
,
Seifert
L
,
Akkad
N
,
Mohan
N
,
Werba
G
, et al
γδ T cells support pancreatic oncogenesis by restraining αβ T cell activation
.
Cell
2016
;
166
:
1485
99
.
17.
Li
J
,
Byrne
KT
,
Yan
F
,
Yamazoe
T
,
Chen
Z
,
Baslan
T
, et al
Tumor cell-intrinsic factors underlie heterogeneity of immune cell infiltration and response to immunotherapy
.
Immunity
2018
;
49
:
178
93
.
18.
Pylayeva-Gupta
Y
,
Das
S
,
Handler
JS
,
Hajdu
CH
,
Coffre
M
,
Koralov
SB
, et al
IL35-producing B cells promote the development of pancreatic neoplasia
.
Cancer Discov
2016
;
6
:
247
55
.
19.
Mirlekar
B
,
Michaud
D
,
Searcy
R
,
Greene
K
,
Pylayeva-Gupta
Y
. 
IL35 hinders endogenous antitumor T-cell immunity and responsiveness to immunotherapy in pancreatic cancer
.
Cancer Immunol Res
2018
;
6
:
1014
24
.
20.
Pylayeva-Gupta
Y
. 
Molecular pathways: interleukin-35 in autoimmunity and cancer
.
Clin Cancer Res
2016
;
22
:
4973
8
.
21.
Turnis
ME
,
Sawant
DV
,
Szymczak-Workman
AL
,
Andrews
LP
,
Delgoffe
GM
,
Yano
H
, et al
Interleukin-35 limits anti-tumor immunity
.
Immunity
2016
;
44
:
316
29
.
22.
Chaturvedi
V
,
Collison
LW
,
Guy
CS
,
Workman
CJ
,
Vignali
DA
. 
Cutting edge: human regulatory T cells require IL-35 to mediate suppression and infectious tolerance
.
J Immunol
2011
;
186
:
6661
6
.
23.
Dixon
KO
,
van der Kooij
SW
,
Vignali
DA
,
van Kooten
C
. 
Human tolerogenic dendritic cells produce IL-35 in the absence of other IL-12 family members
.
Eur J Immunol
2015
;
45
:
1736
47
.
24.
Shen
P
,
Roch
T
,
Lampropoulou
V
,
O'Connor
RA
,
Stervbo
U
,
Hilgenberg
E
, et al
IL-35-producing B cells are critical regulators of immunity during autoimmune and infectious diseases
.
Nature
2014
;
507
:
366
70
.
25.
Wang
RX
,
Yu
CR
,
Dambuza
IM
,
Mahdi
RM
,
Dolinska
MB
,
Sergeev
YV
, et al
Interleukin-35 induces regulatory B cells that suppress autoimmune disease
.
Nat Med
2014
;
20
:
633
41
.
26.
Wang
Z
,
Liu
JQ
,
Liu
Z
,
Shen
R
,
Zhang
G
,
Xu
J
, et al
Tumor-derived IL-35 promotes tumor growth by enhancing myeloid cell accumulation and angiogenesis
.
J Immunol
2013
;
190
:
2415
23
.
27.
Stromnes
IM
,
Schmitt
TM
,
Hulbert
A
,
Brockenbrough
JS
,
Nguyen
H
,
Cuevas
C
, et al
T cells engineered against a native antigen can surmount immunologic and physical barriers to treat pancreatic ductal adenocarcinoma
.
Cancer Cell
2015
;
28
:
638
52
.
28.
Kim
JM
,
Rasmussen
JP
,
Rudensky
AY
. 
Regulatory T cells prevent catastrophic autoimmunity throughout the lifespan of mice
.
Nat Immunol
2007
;
8
:
191
7
.
29.
Fontenot
JD
,
Gavin
MA
,
Rudensky
AY
. 
Foxp3 programs the development and function of CD4+CD25+ regulatory T cells
.
Nat Immunol
2003
;
4
:
330
6
.
30.
Rubtsov
YP
,
Rasmussen
JP
,
Chi
EY
,
Fontenot
J
,
Castelli
L
,
Ye
X
, et al
Regulatory T cell-derived interleukin-10 limits inflammation at environmental interfaces
.
Immunity
2008
;
28
:
546
58
.
31.
Rubtsov
YP
,
Niec
RE
,
Josefowicz
S
,
Li
L
,
Darce
J
,
Mathis
D
, et al
Stability of the regulatory T cell lineage in vivo
.
Science
2010
;
329
:
1667
71
.
32.
Rickert
RC
,
Roes
J
,
Rajewsky
K
. 
B lymphocyte-specific, Cre-mediated mutagenesis in mice
.
Nucleic Acids Res
1997
;
25
:
1317
8
.
33.
Bayne
LJ
,
Beatty
GL
,
Jhala
N
,
Clark
CE
,
Rhim
AD
,
Stanger
BZ
, et al
Tumor-derived granulocyte-macrophage colony-stimulating factor regulates myeloid inflammation and T cell immunity in pancreatic cancer
.
Cancer Cell
2012
;
21
:
822
35
.
34.
Bindea
G
,
Mlecnik
B
,
Tosolini
M
,
Kirilovsky
A
,
Waldner
M
,
Obenauf
AC
, et al
Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer
.
Immunity
2013
;
39
:
782
95
.
35.
Rooney
MS
,
Shukla
SA
,
Wu
CJ
,
Getz
G
,
Hacohen
N
. 
Molecular and genetic properties of tumors associated with local immune cytolytic activity
.
Cell
2015
;
160
:
48
61
.
36.
Mikucki
ME
,
Fisher
DT
,
Matsuzaki
J
,
Skitzki
JJ
,
Gaulin
NB
,
Muhitch
JB
, et al
Non-redundant requirement for CXCR3 signalling during tumoricidal T-cell trafficking across tumour vascular checkpoints
.
Nat Commun
2015
;
6
:
7458
.
37.
Dambuza
IM
,
He
C
,
Choi
JK
,
Yu
CR
,
Wang
R
,
Mattapallil
MJ
, et al
IL-12p35 induces expansion of IL-10 and IL-35-expressing regulatory B cells and ameliorates autoimmune disease
.
Nat Commun
2017
;
8
:
719
.
38.
Collison
LW
,
Delgoffe
GM
,
Guy
CS
,
Vignali
KM
,
Chaturvedi
V
,
Fairweather
D
, et al
The composition and signaling of the IL-35 receptor are unconventional
.
Nat Immunol
2012
;
13
:
290
9
.
39.
Frank
DA
,
Mahajan
S
,
Ritz
J
. 
Fludarabine-induced immunosuppression is associated with inhibition of STAT1 signaling
.
Nat Med
1999
;
5
:
444
7
.
40.
Chalmin
F
,
Mignot
G
,
Bruchard
M
,
Chevriaux
A
,
Vegran
F
,
Hichami
A
, et al
Stat3 and Gfi-1 transcription factors control Th17 cell immunosuppressive activity via the regulation of ectonucleotidase expression
.
Immunity
2012
;
36
:
362
73
.
41.
Bright
JJ
,
Du
C
,
Coon
M
,
Sriram
S
,
Klaus
SJ
. 
Prevention of experimental allergic encephalomyelitis via inhibition of IL-12 signaling and IL-12-mediated Th1 differentiation: an effect of the novel anti-inflammatory drug lisofylline
.
J Immunol
1998
;
161
:
7015
22
.
42.
Johansson
H
,
Andersson
R
,
Bauden
M
,
Hammes
S
,
Holdenrieder
S
,
Ansari
D
. 
Immune checkpoint therapy for pancreatic cancer
.
World J Gastroenterol
2016
;
22
:
9457
76
.
43.
Rosser
EC
,
Mauri
C
. 
Regulatory B cells: origin, phenotype, and function
.
Immunity
2015
;
42
:
607
12
.
44.
Mauri
C
,
Menon
M
. 
The expanding family of regulatory B cells
.
Int Immunol
2015
;
27
:
479
86
.
45.
de Masson
A
,
Bouaziz
JD
,
Le Buanec
H
,
Robin
M
,
O'Meara
A
,
Parquet
N
, et al
CD24(hi)CD27(+) and plasmablast-like regulatory B cells in human chronic graft-versus-host disease
.
Blood
2015
;
125
:
1830
9
.
46.
Menon
M
,
Rosser
EC
,
Mauri
C
. 
Identification and isolation of regulatory B cells in mouse and human
.
Methods Mol Biol
2019
;
1899
:
55
66
.
47.
Banko
Z
,
Pozsgay
J
,
Szili
D
,
Toth
M
,
Gati
T
,
Nagy
G
, et al
Induction and differentiation of IL-10-producing regulatory B cells from healthy blood donors and rheumatoid arthritis patients
.
J Immunol
2017
;
198
:
1512
20
.
48.
Matsumoto
M
,
Baba
A
,
Yokota
T
,
Nishikawa
H
,
Ohkawa
Y
,
Kayama
H
, et al
Interleukin-10-producing plasmablasts exert regulatory function in autoimmune inflammation
.
Immunity
2014
;
41
:
1040
51
.
49.
Huang
C
,
Li
N
,
Li
Z
,
Chang
A
,
Chen
Y
,
Zhao
T
, et al
Tumour-derived Interleukin 35 promotes pancreatic ductal adenocarcinoma cell extravasation and metastasis by inducing ICAM1 expression
.
Nat Commun
2017
;
8
:
14035
.
50.
Thorsson
V
,
Gibbs
DL
,
Brown
SD
,
Wolf
D
,
Bortone
DS
,
Ou Yang
TH
, et al
The immune landscape of cancer
.
Immunity
2018
;
48
:
812
30
.
51.
Zhu
Y
,
Herndon
JM
,
Sojka
DK
,
Kim
KW
,
Knolhoff
BL
,
Zuo
C
, et al
Tissue-resident macrophages in pancreatic ductal adenocarcinoma originate from embryonic hematopoiesis and promote tumor progression
.
Immunity
2017
;
47
:
597
.
52.
Cui
R
,
Yue
W
,
Lattime
EC
,
Stein
MN
,
Xu
Q
,
Tan
XL
. 
Targeting tumor-associated macrophages to combat pancreatic cancer
.
Oncotarget
2016
;
7
:
50735
54
.
53.
Coronella-Wood
JA
,
Hersh
EM
. 
Naturally occurring B-cell responses to breast cancer
.
Cancer Immunol Immunother
2003
;
52
:
715
38
.
54.
Gunderson
AJ
,
Kaneda
MM
,
Tsujikawa
T
,
Nguyen
AV
,
Affara
NI
,
Ruffell
B
, et al
Bruton tyrosine kinase-dependent immune cell cross-talk drives pancreas cancer
.
Cancer Discov
2016
;
6
:
270
85
.
55.
Lee
KE
,
Spata
M
,
Bayne
LJ
,
Buza
EL
,
Durham
AC
,
Allman
D
, et al
Hif1a deletion reveals pro-neoplastic function of B cells in pancreatic neoplasia
.
Cancer Discov
2016
;
6
:
256
69
.
56.
Kujawski
M
,
Zhang
C
,
Herrmann
A
,
Reckamp
K
,
Scuto
A
,
Jensen
M
, et al
Targeting STAT3 in adoptively transferred T cells promotes their in vivo expansion and antitumor effects
.
Cancer Res
2010
;
70
:
9599
610
.
57.
Yue
C
,
Shen
S
,
Deng
J
,
Priceman
SJ
,
Li
W
,
Huang
A
, et al
STAT3 in CD8+ T cells inhibits their tumor accumulation by downregulating CXCR3/CXCL10 axis
.
Cancer Immunol Res
2015
;
3
:
864
70
.
58.
Yu
CR
,
Dambuza
IM
,
Lee
YJ
,
Frank
GM
,
Egwuagu
CE
. 
STAT3 regulates proliferation and survival of CD8+ T cells: enhances effector responses to HSV-1 infection, and inhibits IL-10+ regulatory CD8+ T cells in autoimmune uveitis
.
Mediators Inflamm
2013
;
2013
:
359674
.
59.
Ciucci
T
,
Vacchio
MS
,
Bosselut
R
. 
A STAT3-dependent transcriptional circuitry inhibits cytotoxic gene expression in T cells
.
Proc Natl Acad Sci U S A
2017
;
114
:
13236
41
.
60.
Lukenbill
J
,
Kalaycio
M
. 
Fludarabine: a review of the clear benefits and potential harms
.
Leuk Res
2013
;
37
:
986
94
.
61.
Munoz
J
,
Dhillon
N
,
Janku
F
,
Watowich
SS
,
Hong
DS
. 
STAT3 inhibitors: finding a home in lymphoma and leukemia
.
Oncologist
2014
;
19
:
536
44
.
62.
Chen
M
,
Yang
Z
,
Wu
R
,
Nadler
JL
. 
Lisofylline, a novel antiinflammatory agent, protects pancreatic beta-cells from proinflammatory cytokine damage by promoting mitochondrial metabolism
.
Endocrinology
2002
;
143
:
2341
8
.
63.
Yuen
GJ
,
Demissie
E
,
Pillai
S
. 
B lymphocytes and cancer: a love-hate relationship
.
Trends Cancer
2016
;
2
:
747
57
.
64.
Blair
PA
,
Norena
LY
,
Flores-Borja
F
,
Rawlings
DJ
,
Isenberg
DA
,
Ehrenstein
MR
, et al
CD19(+)CD24(hi)CD38(hi) B cells exhibit regulatory capacity in healthy individuals but are functionally impaired in systemic Lupus Erythematosus patients
.
Immunity
2010
;
32
:
129
40
.